Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization.
Justin P. HaldarTae Hyung KimPublished in: ACSSC (2017)
Keyphrases
- low rank matrix
- low rank
- rank minimization
- minimization problems
- signal processing
- matrix factorization
- singular value decomposition
- convex optimization
- sparse matrix
- neural network
- approximation methods
- semi supervised
- image processing
- computer vision
- data sets
- original data
- linear combination
- small number
- singular values
- high resolution